IntroducingCERTIFICATE IN BUSINESS ANALYTICS AND INTELLIGENCE
The transformative power of data and analytics has never been more important than it is today. Companies increasingly need to deliver insights on customer experience and business trends in order to remain competitive in the market. The Business Analytics online short course from Mulungushi University aims to equip you with advanced data analysis techniques to support business decision-making and critical thinking in times of ambiguity and uncertainty.
CERTIFICATE IN BUSINESS ANALYTICS AND INTELLIGENCE
Course Details
Background
Rationale
As this is an advanced course, it’s ideal for practicing analysts who want to update their knowledge, grow their careers, and improve their ability to impact business decisions with data insights. It’s also designed for those who aspire to become data scientists, and for managers and senior decision makers who want to learn how to leverage data to make informed choices and add more value to their organisation. While there are no prerequisites for this course, it’s recommended that students have a basic understanding of statistics and analytics before registering
Code
BAI111Fees
K4,000 Per Person Groups of more than 5 persons K3,500 per personLocation
OnlineContact
Dates
Aim
Objectives
At the end of the program Learners should be able to:
- The ability to use business intelligence tools like Excel, Power BI, Tableau to effectively communicate and present actionable insights across your organisation.
- Data analysis and business analytics skills that you can apply to drive decision-making.
- The expertise to create real business value through data visualisation and storytelling.
-
An understanding of the basics of performing data analysis using Python.
Competencies
Entry requirements
You will need a working computer that is able to support Microsoft Excel 2010 version or any later version and Python software.
Expected prior knowledge
COURSE DELIVERY.
QUALIFICATION
Course Content
Lesson Schedule
Day |
Discussion Topics |
Facilitator |
Day 1 |
Introduction to Business analytics and data visualization Business intelligence and data storytelling |
Mrs. M.Mwondela |
Day 2 |
Cluster analysis Market Basket Analysis |
Mrs. M.Mwondela |
Day 3 |
Factor analysis Multiple regression |
Mr. D. Muchochoma |
Day 4 |
Logistic regression Spreadsheet Models |
Mr. D. Muchochoma |
Day 5 |
Classification trees Decision Analysis |
Mrs. M.Mwondela |
Day 6 |
Linear Optimization |
Mr. D. Muchochoma |
Day 7 |
Monte Carlo Simulation |
Mr. D. Muchochoma |
Day 8 |
Business analysis and the future of data analytics |
Mrs. M.Mwondela |
Teaching Methods
Timing and schedules
Time: 1730hrs to 1930hrs Online
Assessment Method
2.Quizzes 10%
3.Business Analysis project 60%